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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Evaluation of frameworks that combine evolution and learning to design robots in complex morphological spaces

Li, Wei, Buchanan, Edgar, Le Goff, Léni K., Hart, Emma, Hale, Matthew F., De Carlo, Matteo, Wooley, Robert, Winfield, Alan F., Timmis, Jonathan and Tyrrell, Andy M. (2023) Evaluation of frameworks that combine evolution and learning to design robots in complex morphological spaces. IEEE Transactions on Evolutionary Computation. p. 211. ISSN 1089-778X

Item Type: Article
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Depositing User: Jonathan Timmis

Identifiers

Item ID: 16710
Identification Number: https://doi.org/10.1109/TEVC.2023.3316363
ISSN: 1089-778X
URI: http://sure.sunderland.ac.uk/id/eprint/16710
Official URL: https://ieeexplore.ieee.org/document/10349126/auth...

Users with ORCIDS

ORCID for Edgar Buchanan: ORCID iD orcid.org/0000-0001-6587-8808
ORCID for Léni K. Le Goff: ORCID iD orcid.org/0000-0003-1749-9154
ORCID for Matteo De Carlo: ORCID iD orcid.org/0000-0002-6435-0873
ORCID for Alan F. Winfield: ORCID iD orcid.org/0000-0002-1476-3127
ORCID for Jonathan Timmis: ORCID iD orcid.org/0000-0003-1055-0471
ORCID for Andy M. Tyrrell: ORCID iD orcid.org/0000-0002-8533-2404

Catalogue record

Date Deposited: 01 Nov 2023 14:12
Last Modified: 23 Apr 2024 13:39

Contributors

Author: Edgar Buchanan ORCID iD
Author: Léni K. Le Goff ORCID iD
Author: Matteo De Carlo ORCID iD
Author: Alan F. Winfield ORCID iD
Author: Jonathan Timmis ORCID iD
Author: Andy M. Tyrrell ORCID iD
Author: Wei Li
Author: Emma Hart
Author: Matthew F. Hale
Author: Robert Wooley

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Computing > Artificial Intelligence

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